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Abstract

The authors present opinions based on their applied experiences of working with female athletes in combination with the existing evidence-based literature. Most of the existing menstrual cycle research focuses on a few steady-state time points within the pre-defined menstrual cycle phases, yet this disregards the day-to-day hormonal changes that women have to accommodate to perform optimally and consistently. The traditional research models are inadequate for studying symptoms and symptom management, and ultimately for supporting athletes to perform well throughout the entirety of their cycle. As such, the monitoring of the day-to-day variation, particularly during the transitions between menstrual cycle phases appears to be an important “overlooked” consideration. This is particularly pertinent considering the known intra-individual and inter-individual variation in menstrual cycle characteristics. Anecdotal and research evidence supports the idea that athletes can use non-pharmacological solutions to mitigate negative menstrual cycle symptoms and do not need to “grit their teeth and roll with it”. However, further research (including case studies) is needed in this important research area. Such knowledge should be and needs to be widespread amongst practitioners and athletes as they should not have to figure this out alone. As such, researchers and practitioners need to put more work into understanding symptom aetiology, symptom clusters and their relationship with hormonal changes, menstrual cycle phases and transitions, with potential for a profound impact on individual athlete health and well-being. In so doing, those working with female athletes need to continue building on the recent progress made in educating athletes and practitioners; for example, normalising the discussion of and about the menstrual cycle and all of its implications.
Vol.:(0123456789)
Sports Medicine (2022) 52:1457–1460
https://doi.org/10.1007/s40279-022-01691-2
CURRENT OPINION
Menstrual Cycle: The Importance ofBoth thePhases
andtheTransitions Between Phases onTraining andPerformance
GeorgieBruinvels1,2,3 · AnthonyC.Hackney4· CharlesR.Pedlar1,2,3
Accepted: 3 April 2022 / Published online: 29 April 2022
© Crown 2022
Abstract
The authors present opinions based on their applied experiences of working with female athletes in combination with the
existing evidence-based literature. Most of the existing menstrual cycle research focuses on a few steady-state time points
within the pre-defined menstrual cycle phases, yet this disregards the day-to-day hormonal changes that women have to
accommodate to perform optimally and consistently. The traditional research models are inadequate for studying symptoms
and symptom management, and ultimately for supporting athletes to perform well throughout the entirety of their cycle. As
such, the monitoring of the day-to-day variation, particularly during the transitions between menstrual cycle phases appears
to be an important “overlooked” consideration. This is particularly pertinent considering the known intra-individual and
inter-individual variation in menstrual cycle characteristics. Anecdotal and research evidence supports the idea that athletes
can use non-pharmacological solutions to mitigate negative menstrual cycle symptoms and do not need to “grit their teeth
and roll with it”. However, further research (including case studies) is needed in this important research area. Such knowledge
should be and needs to be widespread amongst practitioners and athletes as they should not have to figure this out alone.
As such, researchers and practitioners need to put more work into understanding symptom aetiology, symptom clusters
and their relationship with hormonal changes, menstrual cycle phases and transitions, with potential for a profound impact
on individual athlete health and well-being. In so doing, those working with female athletes need to continue building on
the recent progress made in educating athletes and practitioners; for example, normalising the discussion of and about the
menstrual cycle and all of its implications.
1 Background
Female sex hormone levels in eumenorrheic women can
change by over 100% in a 24-h window of time [1]. While
the physiological and psychological implications of such
dramatic changes are incompletely understood, our first-
hand experience with athletes over many years tells us that
it is these sharp alterations in sex hormone levels that can
be associated with adverse, often detrimental, symptoms.
Common symptoms such as severe cramps, vomiting and
injury flare-ups can all be debilitating and wholly incompat-
ible with peak performance. Therefore, it is critical that the
significance of these occurrences in the sport setting not be
overlooked if practitioners are to provide helpful support to
female athletes.
Our intention in this commentary is to assert that there is
a clear case for practitioners and researchers to: (1) recognise
the impact that menstrual cycle (MC) symptoms can have
on aspects of performance and overall wellness (e.g. sleep
patterns, recovery time and mood) throughout the entirety of
the MC and (2) to not have an over-simplifying perspective
on the MC phases (i.e. just mid-follicular vs mid-luteal), and
in turn raise awareness of the importance of the day-to-day
variation including transition periods between MC phases
on athletes training and performance.
* Georgie Bruinvels
georgie.bruinvels.14@ucl.ac.uk
1 St Mary’s University, Twickenham, London, UK
2 Orreco Ltd, Business Innovation Unit, NUI Galway, Galway,
Ireland
3 Institute ofSport, Exercise andHealth, UCL, 170 Tottenham
Court Road, LondonW1T7HA, UK
4 University ofNorth Carolina, ChapelHill, NC, USA
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1458 G.Bruinvels et al.
2 MC Model
In the literature, the MC has frequently been split into
physiological phases from the most simplistic (two phases)
to the highly detailed (seven phases) [6]. However, most
of the prior research informing our practices with athletes
tends to rely on a three-phased model with the assump-
tion of steady-state hormone levels existing; menstruation
(low sex hormones, early follicular), pre-ovulation (high
oestrogen, late follicular) and luteal (high oestrogen and
progesterone). Yet this three-phased model disregards the
hormonal changes punctuating the transitions from oes-
trogen dominance (late follicular phase) to ovulation, then
to a greater hormone level phase where both oestrogen
and progesterone are prominent (luteal phase), and finally
returning to menstruation. The translational utility of these
mid-phase studies for athletic use is weak. The hormonal
changes during phase transition can be rapid and large
in magnitude creating a dramatic change in the hormo-
nal milieu of a woman and challenging the maintenance
of homeostasis [1]. Crucially, the pre-menstrual phase,
typically bracketed into the luteal phase, is a key win-
dow of significant hormonal decline and has been almost
exclusively ignored in its own right within sports science
research. Yet, it is in this pre-menstruation phase and dur-
ing the subsequent early follicular phase (menstruation)
where we have observed adverse MC symptoms in ath-
letes to be most prevalent, and where there is an increased
likelihood of a need for extended exercise recovery [7],
compromises to training and performance [8]. This pre-
menstruation window seems little studied or understood by
sports science researchers, thus there is minimal guidance
for practitioners. Similarly, the post-ovulatory increase in
progesterone can also challenge systemic physiology. Pro-
gesterone has numerous systemic actions on other tissues,
including affecting neuromodulation, metabolism and
thermoregulation and increasing basal body temperature
as well as having antiestrogenic actions [911]. Athletes
need to be able to perform consistently throughout their
MC, thus sports scientists must not be remiss and apply a
reductionist approach to research to support both practi-
tioners and athletes in maintaining consistent performance
throughout the entire hormonal cycle.
3 Symptom Burden
Besides anecdotal reports from athletes, evidence-based
findings support a physiological basis for MC symptoms.
One primary mechanism involves the pre-menstrual
progesterone withdrawal and associated acute-phase
inflammatory response [2]. This, when occurring in par-
allel with an intense training load (or other causes of
stress both psychological and physical) has the potential
to create the ‘perfect storm’ of excess fatigue and under-
performance in athletes, if not managed proactively [3].
That said, not all women and their cycles are alike, and it
is important to appreciate the significant inter-individual
and sometimes intra-individual variation in cycle length,
bleeding pattern, symptom type, severity and timing [4, 5].
The magnitude of symptoms, i.e. the number, frequency
and severity; and the common clusters of symptoms have
yet to be fully documented, but anecdotally, athletes can
report feeling great one day, and compromised by symp-
toms just 1day later. In our experience, it is rare to find
female athletes with no negative symptoms whatsoever
across their MC, but we recognise this is not a universal
occurrence. Despite this, empirical evidence evaluating
objective measures of performance (not symptoms) from
cohort studies at fixed, steady-state MC time points are
inconclusive with regard to whether there are performance
impacts [6]. This ambiguity in the existing evidence is a
call for more research.
4 Global Consideration forExercising
Women
When considered en masse, over 90% of eumenorrheic
(regularly menstruating) exercising women experience MC-
related symptoms (e.g. changes in mood, menstrual cramps,
fatigue, lower back pain), with 80% reporting symptoms or
interrelated performance decrements every cycle [5, 8].
Symptoms appear to be as common in the general popula-
tion and in elite athletes, and specific to the latter, recent
findings suggest 50–67% of elite athletes perceive their
exercise performance to be disrupted by their MC [8, 12,
13]. Furthermore, beyond the elite arena, given that adverse
symptoms are a known barrier to habitual exercise, better
understanding these symptoms, and subsequently finding
suitable ways of mitigating them, could positively impact
the lives of millions of women worldwide. The current situ-
ation is a wonderful opportunity for translational research.
Historically, a lack of education, knowledge and willingness
to discuss this topic has been a substantial limiting factor,
but fortunately, this is rapidly changing.
5 What Needs tobe Done? Actions!
The first priority is to continue to educate both athletes and
practitioners to normalise the conversation around the MC
and raise awareness that symptoms (negative or positive) are
common and are related to the natural physiological rhythms
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1459
Appreciating the Entirety of the Menstrual Cycle in Female Athletes
(i.e. hormonal changes) of the cycle. In addition to this, we
advocate cycle tracking, and symptom logging to understand
each individual’s profile (and to be able to detect deviations).
Cycle tracking can take a number of different forms, includ-
ing a simple paper diary or alternatively, there are several
mobile applications with cycle tracking features. In full dis-
closure, two authors (GB, CP) of this article must acknowl-
edge their involvement in the creation of the FitrWoman
mobile application, and that while this is a tool that can be
used in this instance, there are several other options.
Importantly, in our experience, negative symptoms can
often be mitigated with appropriate multi-disciplinary non-
pharmacological interventions and via trial and error (see
following), helping athletes to avoid routine use of over-
the-counter analgesics and anti-inflammatory drugs (e.g.,
non-steroidal anti-inflammatory drugs) or hormonal contra-
ception as a primary treatment option, which can each pre-
sent alternative concerns. Additionally, where resources are
available, measuring hormones regularly could be informa-
tive, helping to specifically identify MC phases, and the
magnitude or absence of hormone fluctuations (note: hor-
mone receptors are also expressed differently over a MC
[14], which may limit the insights that can be gained from
just measuring circulating hormones alone [15]). Ultimately
of course, as practitioners we need to be treating and manag-
ing the symptoms, not just the hormone levels. We propose
that the key element here is how an individual responds to
the changing ratio of reproductive hormones that present
dynamically throughout the cycle; therefore, monitoring
the dates of the cycle transients together with symptoms
can provide vital practical information and preclude the
essentiality, inconvenience and expense of regular hormone
profiling, which most likely is not available to the non-elite
female exerciser, and seldom available to the elite athlete.
Furthermore, the language used when educating and discuss-
ing the MC should be carefully considered. The societal con-
structs associated with negative unwanted symptoms before
and during menstruation need to be reframed to avoid artifi-
cially creating or reinforcing a barrier. Put simply, education
should be used to enable and empower, not limit.
Like many strategies adopted by athletes, there might not
be randomised controlled research trials providing evidence
to support every intervention strategy in every scenario, and
there probably never will be. However, there is evidence
that supports nutritional interventions (e.g. curcumin and
omega-3 intake) [16, 17] and exercise modes [18]. Further,
use of particular nutritional interventions and extending
sleep can reduce inflammation, which appears to be a key
factor in negative symptom development [1923]. Unfortu-
nately, as far as we know, all such studies thus far demon-
strating anti-inflammatory effects of nutritional interventions
have been conducted exclusively in men. Nonetheless, we
have observationally noted that these strategies can have a
profound impact on women too. The advantage of nutrition
and sleep interventions is that they do no harm, in contrast
to the potential risks associated with long-term use of non-
steroidal anti-inflammatory drugs or counteractive hormo-
nal contraceptive use. Despite what is proposed herein, we
acknowledge our current insights are based upon a paltry
amount of evidence, further high-quality research is needed
to provide data-driven insights into symptoms (frequency
and severity), cycle length changes and symptom clusters as
well as testing non-pharmacological, MC phase-appropriate,
symptom mitigation strategies throughout the entirety of the
MC.
6 Conclusions
In female athletes, there is the potential and thus an overt
need to perform on any day of the MC, consequently the
impact of the day-to-day fluctuations in MC hormones and
symptoms needs to be better understood (i.e. studied, moni-
tored). Such monitoring in turn should be accompanied by
education and, where possible and needed, individualised
proactive management. Finally, the apparent disconnect
between much of the existing research and applied practice
needs to be addressed and rectified if we are to optimise the
potential of female athletes.
Declarations
Funding No funding has been received in relation to this work.
Conflicts of Interest/Competing Interests Georgie Bruinvels and
Charles R. Pedlar are employees or consultants with Orreco Ltd., crea-
tors of the free FitrWoman app.
Ethics Approval Not applicable.
Consent to Participate Not applicable.
Consent for Publication Not applicable.
Availability of Data and Material Not applicable.
Code Availability Not applicable.
Authors’ Contributions All authors contributed equally to writing this
Current Opinion.
Open Access This article is licensed under a Creative Commons Attri-
bution 4.0 International License, which permits use, sharing, adapta-
tion, distribution and reproduction in any medium or format, as long
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... Athletes with three or more menstrual symptoms are twice as likely to report being negatively affected by their MC [13]. Although up to 93% of athletes report experiencing menstrual symptoms [13], research on symptoms effect on athletic performance is scarce [14], with no studies related to football match running. Given menstrual symptoms may be monitored more easily than and regardless of a "normal" hormonal profile, this may be useful to professional football populations. ...
... The MC can be classified in up to seven phases [15] though in the absence of analyzing bloods this is not possible to accurately achieve, thus a three-phase model was used [14]. (1) Earlyfollicular phase (EFP)-days of menstruation or until Day 5 of each cycle (whichever was longer), where > 2 days of bleeding occurred. ...
... If a player did not obtain a positive LH or PdG test, only their EFP data were retained for that cycle as this continues to be a "low hormone" phase. The three-phase model represents low sex hormones (EFP), high estrogen (MFP), and high estrogen and progesterone (LP) [14]. ...
Article
Full-text available
This study examined the effects of menstrual cycle phases and symptoms on match running performance in football (soccer) players. Twenty‐one nonhormonal contraceptive using football players from four professional teams were monitored for up to four menstrual cycles during a domestic league season. Menstrual phases, classified as early‐follicular phase (EFP), mid‐late follicular phase (MFP), and luteal phase (LP), were determined by self‐reporting of menstruation and urinary hormone tests (luteinizing hormone and pregnanediol‐3‐glucuronide). On match day, players completed a menstrual symptom severity questionnaire. In repeated matches, players wore 10 Hz Global Positioning Satellite (GPS) devices to measure relative (/min) total distance, high‐speed running distance, very high‐speed distance, peak speed, acceleration count, and deceleration count. Linear mixed models were performed for each GPS measure to determine the relationship with phase or symptoms. Data for 7 and 10 players were included for menstrual phase and menstrual symptoms analyses, respectively. A significantly higher total distance was reported during MFP compared to EFP (Δ 5.1 m min ⁻¹ ; p = 0.04) and LP (Δ 5.8 m min ⁻¹ ; p = 0.007). Significantly greater high‐speed running was reported during MFP compared to EFP (Δ 1.2 m min ⁻¹ ; p = 0.012) and LP (Δ 1.1 m min ⁻¹ ; p = 0.007). No significant effect of menstrual phase was found for any other GPS measures ( p > 0.05). Accelerations declined with increasing symptom severity ( p = 0.021, estimate = −0.01count.min ⁻¹ ). Menstrual symptom severity did not affect any other GPS measures ( p > 0.05). In conclusion, greater total distance and high‐speed running occurred during the MFP. Additionally, accelerations minimally decreased with increasing menstrual symptom severity. Large intra‐ and inter‐variability existed, suggesting individualized monitoring and management of menstrual effects on performance would be beneficial.
... One study from 2022 revealed that 67% of elite athletes who menstruate perceive their performance to be perturbed by MCs, while another study indicated that 93% reported having a negative experience associated with their days of active bleeding, and greater than two-thirds of female rugby players interviewed and analyzed held a negative perception regarding the impact of MCs on their training and athletic performances. 26,43 Both studies highlight the significant impact of MC perception on the performance of elite female athletes, and the relevance MC-focused research would have on sports medicine. Shifting perspective to a more positive and information-based viewpoint is key, and MC can be looked at as a metric for "performance readiness." ...
... One study noted an association between injury flareup and luteal phase, validating other studies that have suggested the correlation between MC phase hormone shifts and increased tissue and muscle inflammation. 4,43 As stated throughout this review, irregularities in MC have been linked to maladaptation to exercise training. 45,46 The quality of diet, metabolism, and nutrient uptake play large and dynamic roles in the athletic performance, as well as the likelihood of injury. ...
Article
Full-text available
The menstrual cycle (MC) serves as a vital indicator of overall health and metabolic function, regulated by the hypothalamic–pituitary axis and involving a complex interplay of hormones. Understanding these hormonal dynamics is crucial for deciphering an individual's physiological status and performance potential, particularly in athletes. Studies regarding the MC's impact on athletic performance and training often lack inclusivity, standardized methodologies, and inconsistent biological definitions, hindering comprehensive conclusions. Moreover, societal inequalities contribute to the underrepresentation of female athletes in research, exacerbating the lack of understanding regarding female physiology in sports medicine. Leveraging wearable technology presents a promising avenue for both tracking MCs and optimizing athletic training/recovery. Wearables offer real-time monitoring of biometrics that often correlate with hormonal fluctuations, and lifestyle trends (diet, sleep, stress) aiding in personalized training schedules and performance optimization. Integrating data collected by MC dynamics and wearable technology into athletic training has the potential to decrease the generally perceived negative impacts MC has on athletic performance. Addressing gaps in research methodologies and promoting awareness among athletes, coaches, and healthcare professionals are essential steps toward maximizing the potential of MC-informed training strategies.
... The reference values provided by independent laboratories typically display wide ranges due to inter-and intra-individual physiological variations, even in cycle length, bleeding pattern and timing. [30][31][32] Additionally, to our knowledge, there are no references for endogenous fluctuations of such hormones among elite athletes HC users. ...
Article
Full-text available
Objectives There is a lack of data on salivary sex hormones across the menstrual cycle (MC) or hormonal contraceptive (HC) cycle of elite athletes. We aimed to provide original data on salivary sex hormones (17β-estradiol, progesterone and free testosterone) in naturally menstruating female athletes with a regular cycle or irregular cycle and using combined HC. A secondary purpose was to compare these data with published data from the general population according to the menstrual status (MC or HC or irregularly menstruating). Methods 367 saliva tests were performed on 44 elite athletes during 6 months of follow-up to certify for cycle regularity. Athletes were grouped into regular MC, n=13; irregular MC, n=5; and HC, n=26. We compared salivary data of regular MC across six cycle phases (menses, mid-follicular, late follicular, early luteal, mid-luteal and late luteal phases) with published data from women with a similar MC or HC status from the general population. Results We provided salivary original data according to six sub-phases among elite athletes with regular MC. HC athletes showed lower salivary sex hormonal levels, markedly after the first week of active HC compared with regular MC. Athletes with irregular cycles do not show a progesterone rise from the first half to the second half of the cycle (Δirregular=0.38 (1.90), a rise detectable within regular MC group ΔregularMC=2.86 (2.88)). Conclusions We provided original data for salivary sex hormone levels in elite female athletes. These references may be valuable for research investigating MC or combined HC data, particularly in longitudinal follow-ups requiring repeated measurements.
... 13 Despite the high occurrence and severity of menstrual symptoms, research surrounding menstrual symptoms' influence on training and performance is lacking. 1 Athletes often report the menstrual cycle to negatively impact their training and/or performance, though perceptions are mixed. For example, 100% (n = 10) of interviewed Women's Super League 16 and 29% (n = 12) of surveyed South African national team 17 footballers reported a negative effect. ...
Article
Purpose : To describe the self-reported menstrual health, symptomatology, and perceived effects of the menstrual cycle on athletic performance for national and international Australian football (soccer) players. Methods : Players from national and domestic teams were invited to complete an online questionnaire regarding menstrual health, use of hormonal contraceptives (HCs), negative symptomatology, and perceived disruption of the menstrual cycle to performance. Descriptive statistics and binomial regressions with odds ratios (OR) were used to report the relationship of menstrual-related variables with perceived performance disruption. Results : A total of 199 players (20.9 [5.1] y) completed the questionnaire, with 18% of players reporting using HCs. One primary amenorrhea case was detected, and 26% of players reported menarche at age ≥15 years. For non-HC users, the prevalence of secondary amenorrhea was 2%, oligomenorrhea was 19%, and heavy menstrual bleeding was 11%. Ninety-seven percent of players reported experiencing physical or affective menstrual symptoms (5 [1.3] per player), and 40% of all players reported that menstrual symptoms impacted their ability to work, study, train, or compete. Furthermore, 40% of players perceived their training or performance to be disrupted by the menstrual cycle. Increasing number of menstrual symptoms (OR = 1.43; 95% CI, 1.28–1.62; P < .001), heavy menstrual bleeding (OR = 12.73; 95% CI, 3.4–82.8; P < .001), and pelvic pain (OR = 3.40; 95% CI, 1.7–7.2; P < .001) increased the likelihood of perceiving the menstrual cycle to disrupt performance. Conclusion : Heavy menstrual bleeding and HC use were low among this cohort of national and international footballers, whereas amenorrhea and oligomenorrhoea were comparable with other football populations. Nearly all players reported menstrual symptoms, and increased symptomatology was associated with greater perceived effects on performance.
... Rapid alterations in sex hormones throughout the menstrual cycle have been associated with common symptoms including severe cramps, vomiting and exacerbation of injuries. These symptoms are thought to be most common during the pre-menstrual and early follicular phase (Bruinvels et al., 2022). ...
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Purpose The current study aimed to examine the population of girls in two secure children’s homes (SCHs) in the North East of England to consider the impact of menstruation on girls’ physical, mental and emotional wellbeing within secure settings. Gender-responsive approaches and understanding gender differences are central to trauma-informed provision within the Children and Young People Secure Estate (CYPSE). Whilst trauma-informed approaches are central, it could be argued that basic gender differences, such as the menstrual cycle, are currently being overlooked within research and practice. Design/methodology/approach A case file audit examined documentation of 24 girls who were admitted across both sites between January 2022 and January 2023. Findings Of the sample ( n = 24), 50% had information recorded regarding their menstrual cycle during admission assessments. Six girls (25%) disclosed experiencing irregular menstruation. Painful cramping was noted by two girls (8%). One girl (4%) disclosed heavy bleeding, and menorrhagia (abnormal heavy bleeding) was reported for one further girl (4%). One girl (4%) disclosed early onset menarche. Case formulations tended to focus less on girls’ menstrual cycles or the potential impact of this on wellbeing. However, 100% of case formulations considered the potential impact of trauma and/or disrupted attachment on girls’ presentations. Originality/value The results indicate the impact of menstrual cycles on girls’ physical, mental and emotional wellbeing may benefit from much further consideration. Implications are presented alongside directions for future research.
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Purpose : The purpose of this study was to describe the implementation of menstrual-cycle (MC) and hormonal-contraceptive (HC) tracking among Gaelic Football players, including the characterization of MC status and symptomatology, and to examine the effect of MC and oral-contraceptive-pill phases on daily wellness. Methods : Fourteen highly trained players (age 24.2 [3.5] y), including non-HC (n = 6), oral contraceptive pill (n = 7), and intrauterine system (n = 1) users, prospectively tracked their MC or HC alongside daily self-reported wellness measures for 4 months. A combination of calendar-based counting, urinary ovulation prediction testing, and a midluteal serum progesterone measurement was used to assess MC status. Results : Only 2 non-HC players were eumenorrheic. Two players exhibited oligomenorrhea (cycle length, 39 [4] d), and ovulation was not detected in one of them. Luteal phase deficiency was indicated in 2 players (serum progesterone range <1.0–7.5 nmol·L ⁻¹ ). All players except 1 reported at least 1 negative MC-related symptom or HC side effect. Linear mixed-model analyses revealed that wellness measures were not affected by oral contraceptive pill phase ( P > .05). Linear mixed-model analysis was not performed in non-HC users due to the small sample of eumenorrheic players (n = 2). Conclusions : Diverse reproductive profiles were observed, including HC use and subtle MC irregularities that would likely go undetected without prospective MC tracking using biochemical outcomes. This highlights the value of incorporating ovulation testing and blood sampling when establishing the MC status of athletes in applied research and practice where feasible. Applied researchers should anticipate practical challenges, including inconsistencies in ovulation testing timings and the time scale required to assess MC status among athletes.
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Over the last few decades, there has been an unprecedented growth in the number of females in sport and exercise, including an exponential rise in female participation, alongside an increased interest and investment in female sport. This success in many aspects underscores the demand for and importance of female-specific research to optimize health, participation, and performance of athletic females. It has also brought awareness to the numerous inequities that exist between females and males. Indeed, the prevailing narrative within sport and exercise science focuses on the disparity of research in females compared with males, which has led to a lack of a critical mass of high-quality data on athletic females. While acknowledging the current gap and the need for further higher quality data, there is still a body of knowledge pertaining to athletic females spanning over a century. This existing literature, amid its criticisms, offers a valuable foundation to build upon for current translation and to inform future research. Thus, it is essential to acknowledge, interpret, and apply prior learnings from previous work, while also considering any limitations. This commentary proposes a reframing of the current narrative that there is an absence of useful data in athletic females, to one that recognizes both the strides made and how past findings can be integrated into practice today as well as inform future research directions. It also addresses the opportunities that remain, and how a more comprehensive and pragmatic body of knowledge can be developed and translated to better serve athletic females in the future.
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Despite increased attention on the menstrual cycle in sport, research has focused largely on physiological changes, with relatively little consideration for fluctuations in psychological responses and coping strategies used in training and competition. This study's primary focus was to explore athlete's coping strategies throughout the menstrual cycle. Participants ( n = 12) took part in a focus group or interview, facilitated by reflections from a diary and mapping exercise. Reflexive thematic analysis was used to analyse the data, generating three themes: Impact of symptoms, coping strategies, and contextual constraints. Participants had increased awareness of physiological over psychological fluctuations, and associated symptoms were considered to impact practicalities of sport and performance. Participants used avoidance, acceptance, and planning to cope with the impact of menstrual symptoms. Coping options were influenced by contextual constraints, including the level of competition and type of sport. The findings showed that some participants lacked menstrual health literacy, especially in relation to psychological fluctuations. Continued efforts to raise awareness around the psychological symptoms of the menstrual cycle and its impact on performance and well-being are needed, not only for the athlete but importantly for the coaching population too. Specifically, consideration of the sporting culture and the space in which athletes feel they can communicate their coping strategies could be pivotal in moving forwards to help develop ‘period pro’ athletes.
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The aim of the study was to assess differences in strength performance, neuromuscular fatigue and perceived exertion across phases of the menstrual cycle (MC, early follicular [eFP], late follicular [lFP] and mid-luteal phase [mLP]) and oral contraceptives (OC, active pill phase [aPP] and non-active pill phase [nPP]). Secondly, in naturally menstruating women, the influence of fluctuating serum 17β-estradiol nd progesterone concentrations on these parameters were analysed. Thirty-four women (21 with a natural MC and 13 using OCs) completed three or two experimental sessions, respectively. Mean mean propulsive velocity (MPV mean ) and total number of repetitions (REP total ) were assessed during a power (3x8 at 60%1RM) and hypertrophy squat loading (3 sets to failure at 70%1RM), respectively. Change in bench press and squat MPV at 60%1RM in response to the loadings were used as surrogates for non-local and local fatigue, respectively. Total blood lactate accumulation (BLA A ) and markers of perceived exertion were assessed in each session. No significant differences between any of the MC or OC phases were observed for MPV mean , REP total , non-local and local fatigue and markers of perceived exertion (all p>0.050). A higher intraindividual 17β-estradiol concentration was significantly associated with a lower MPV mean (p=0.019). BLA A was significantly higher in lFP compared to mLP (p=0.019) and negatively associated with the intraindividual progesterone concentration (p=0.005). While 17β-estradiol may negatively influence the MPV, it appears that fluctuations of both sex hormones across the MC and OC phases are not prominent enough to induce significant nor practically relevant changes in the assessed parameters.
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Until recently, there has been less demand for and interest in female-specific sport and exercise science data. As a result, the vast majority of high-quality sport and exercise science data have been derived from studies with men as participants, which reduces the application of these data due to the known physiological differences between the sexes, specifically with regard to reproductive endocrinology. Furthermore, a shortage of specialist knowledge on female physiology in the sport science community, coupled with a reluctance to effectively adapt experimental designs to incorporate female-specific considerations, such as the menstrual cycle, hormonal contraceptive use, pregnancy and the menopause, has slowed the pursuit of knowledge in this field of research. In addition, a lack of agreement on the terminology and methodological approaches (i.e., gold-standard techniques) used within this research area has further hindered the ability of researchers to adequately develop evidenced-based guidelines for female exercisers. The purpose of this paper was to highlight the specific considerations needed when employing women (i.e., from athletes to non-athletes) as participants in sport and exercise science-based research. These considerations relate to participant selection criteria and adaptations for experimental design and address the diversity and complexities associated with female reproductive endocrinology across the lifespan. This statement intends to promote an increase in the inclusion of women as participants in studies related to sport and exercise science and an enhanced execution of these studies resulting in more high-quality female-specific data.
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Objectives The menstrual cycle can affect sports participation and exercise performance. There are very few data on specific menstrual cycle symptoms (symptoms during various phases of the cycle, not only during menstruation) experienced by exercising women. We aimed to characterise the most common symptoms, as well as the number and frequency of symptoms, and evaluate whether menstrual cycle symptoms are associated with sporting outcomes. Methods 6812 adult women of reproductive age (mean age: 38.3 (8.7) years) who were not using combined hormonal contraception were recruited via the Strava exercise app user database and completed a 39-part survey. Respondents were from seven geographical areas, and the questions were translated and localised to each region (Brazil, n=892; France, n=1355; Germany, n=839; Spain, n=834; UK and Ireland, n=1350; and USA, n=1542). The survey captured exercise behaviours, current menstrual status, presence and frequency of menstrual cycle symptoms, medication use for symptoms, perceived effects of the menstrual cycle on exercise and work behaviours, and history of hormonal contraception use. We propose a novel Menstrual Symptom index (MSi) based on the presence and frequency of 18 commonly reported symptoms (range 0–54, where 54 would correspond to all 18 symptoms each occurring very frequently). Results The most prevalent menstrual cycle symptoms were mood changes/anxiety (90.6%), tiredness/fatigue (86.2%), stomach cramps (84.2%) and breast pain/tenderness (83.1%). After controlling for body mass index, training volume and age, the MSi was associated with a greater likelihood of missing or changing training (OR=1.09 (CI 1.08 to 1.10); p≤0.05), missing a sporting event/competition (OR=1.07 (CI 1.06 to 1.08); p≤0.05), absenteeism from work/academia (OR=1.08 (CI 1.07 to 1.09); p≤0.05) and use of pain medication (OR=1.09 (CI 1.08 to 1.09); p≤0.05). Conclusion Menstrual cycle symptoms are very common in exercising women, and women report that these symptoms compromise their exercise participation and work capacity. The MSi needs to be formally validated (psychometrics); at present, it provides an easy way to quantify the frequency of menstrual cycle symptoms.
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Objectives To explore athletes’ past and current experiences and perceptions of the menstrual cycle in relation to its impact on sporting performance. Methods 15 international female rugby players participated in individual semi-structured interviews (age: 24.5±6.2 years). All interviews were recorded and transcribed verbatim , resulting in 37 376 words of text for descriptive and thematic analysis. Inter-rater reliability checks resulted in a concordance of agreement of 83%. Results Almost all athletes (93%) reported menstrual cycle-related symptoms. Thirty-three per cent perceived heavy menstrual bleeding and 67% considered these symptoms impaired their performances. Two-thirds of athletes self-medicated to alleviate symptoms. Thematic analysis generated 262 meaning units, 38 themes, 10 categories and 4 general dimensions. The four general dimensions were: (1) symptoms: physiological and psychological menstrual cycle-related symptoms such as dysmenorrhoea, flooding, reduced energy levels, worry, distraction, fluctuating emotions and reduced motivation; (2) impact: perceived impact of menstruation on different aspects of daily lives and performance including negative and neutral responses; (3) resolution: the methods/approaches in dealing with menstruation-related concerns including accepting, or adapting and managing symptoms with self-medication or expert treatment; (4) support: available support and comfortability in discussing menstrual cycle-related issues. Conclusions This study provides the first in-depth insight into athlete’s experiences of the menstrual cycle and perceived impact on training and competition. It highlights individual responses to menstrual ‘issues’ and emphasises the need for clinicians and support staff to undertake menstrual cycle profiling, monitoring and continue to develop awareness, openness, knowledge and understanding of the menstrual cycle.
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Women with ovulatory menstrual cycles show an increase in body temperature in the luteal phase, compared with follicular phase, particularly during the night. Several, albeit not all, studies reported higher energy expenditure in the luteal phase compared with follicular phase. Q10 of biological reactions lies between 2.0 and 3.0, predicting a 7-12% increase in energy expenditure when body temperature rises by 1°C. In this study, temperature dependence of energy expenditure was assessed by comparing changes in sleeping energy expenditure and thermoregulation with menstrual cycle in 9 young females. Energy expenditure was measured using a metabolic chamber, in which sleep was recorded polysomnographically, and core body temperature and skin temperature were continuously monitored. Distal-to-proximal skin temperature gradient was assessed as an index of heat dissipation. In the luteal phase, a significant increase in average core body temperature (+0.27°C) and energy expenditure (+6.9%) were observed. Heat dissipation was suppressed during the first 2 hr of sleep in the luteal phase, compared with follicular phase. Rise in basal body temperature in the luteal phase was accompanied by increased energy expenditure and suppressed heat dissipation. The 6.9% increase in metabolic rate would require a Q10 of 12.4 to be attributable solely to temperature (+0.27°C), suggesting that energy expenditure in the luteal phase is enhanced through the mechanism, dependent and independent of luteal-phase rise in body temperature presumably reflects other effects of the sex hormones.
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Background: Eighty percent of women during their reproductive age experience some symptoms attributed to premenstrual phase of the menstrual cycle. Premenstrual syndrome (PMS) is characterized by emotional, behavioral, and physical symptoms that occur during late luteal phase of menstrual cycle and are relieved after the onset of menstruation. Aerobic exercise and yoga are one of the ways to reduce these symptoms. The aim of this study was to compare the effects of aerobic exercise and yoga on PMS. Materials and methods: A total of 72 participants of PMS, referred for physiotherapy treatment (mean age 28 years), were enrolled and allocated into two groups (Group A and B) by simple computerized randomization. Patients in Group A received aerobic exercise and in Group B received yoga movements for 40 min, 3 times a week for 1 month. The pain intensity (Visual Analog Scale) and PMS Scale were measured before, at the end of 15 days, and 1 month of treatment program. Results: Data were analyzed by paired t-test, unpaired t-test, and one-way ANOVA; and the results showed that both aerobic exercise and yoga movements significantly reduced pain intensity and PMS symptoms. Significant reduction in PMS symptoms was found in patients treated with yoga compared to aerobic exercise; however, no significant difference was found in pain intensity between these two groups (P > 0.05). Conclusion: It is concluded that both aerobic exercise and yoga movements are effective in treating PMS; however, yoga is more effective in relieving the symptoms of PMS than aerobic exercise.
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The use of apps that record detailed menstrual cycle data presents a new opportunity to study the menstrual cycle. The aim of this study is to describe menstrual cycle characteristics observed from a large database of cycles collected through an app and investigate associations of menstrual cycle characteristics with cycle length, age and body mass index (BMI). Menstrual cycle parameters, including menstruation, basal body temperature (BBT) and luteinising hormone (LH) tests as well as age and BMI were collected anonymously from real-world users of the Natural Cycles app. We analysed 612,613 ovulatory cycles with a mean length of 29.3 days from 124,648 users. The mean follicular phase length was 16.9 days (95% CI: 10–30) and mean luteal phase length was 12.4 days (95% CI: 7–17). Mean cycle length decreased by 0.18 days (95% CI: 0.17–0.18, R2 = 0.99) and mean follicular phase length decreased by 0.19 days (95% CI: 0.19–0.20, R2 = 0.99) per year of age from 25 to 45 years. Mean variation of cycle length per woman was 0.4 days or 14% higher in women with a BMI of over 35 relative to women with a BMI of 18.5–25. This analysis details variations in menstrual cycle characteristics that are not widely known yet have significant implications for health and well-being. Clinically, women who wish to plan a pregnancy need to have intercourse on their fertile days. In order to identify the fertile period it is important to track physiological parameters such as basal body temperature and not just cycle length.
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This narrative review explores the relationship between sleep and nutrition. Various nutritional interventions have been shown to improve sleep including high carbohydrate, high glycaemic index evening meals, melatonin, tryptophan rich protein, tart cherry juice, kiwifruit and micronutrients. Sleep disturbances and short sleep duration are behavioural risk factors for inflammation, associated with increased risk of illness and disease, which can be modified to promote sleep health. For sleep to have a restorative effect on the body, it must be of adequate duration and quality; particularly for athletes whose physical and mental recovery needs may be greater due to the high physiological and psychological demands placed on them during training and competition. Sleep has been shown to have a restorative effect on the immune system, the endocrine system, facilitate the recovery of the nervous system and metabolic cost of the waking state and has an integral role in learning, memory and synaptic plasticity, all of which can impact both athletic recovery and performance. Functional food-based interventions designed to enhance sleep quality and quantity or promote general health, sleep health, training adaptations and/or recovery warrant further investigation.
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A strenuous bout of exercise could trigger damage of muscle tissue, and it is not clear how sex hormone fluctuations occurring during the menstrual cycle (MC) affect this response. The aims of this study were to systematically search and assess studies that have evaluated exercise-induced muscle damage (EIMD) in eumenorrheic women over the MC and to perform a meta-analysis to quantify which MC phases display the muscle damage response. The guidelines of the Preferred Reported Items for Systematic Reviews and Meta-Analysis were followed. A total of 19 articles were analyzed in the quantitative synthesis. Included studies examined EIMD in at least one phase of the following MC phases: early follicular phase (EFP), late follicular phase (LFP), or midluteal phase (MLP). The meta-analysis demonstrated differences between MC phases for delayed onset muscle soreness (DOMS) and strength loss (p , 0.05), whereas no differences were observed between MC phases for creatine kinase. The maximum mean differences between pre-excercise and post-exercise for DOMS were EFP: 6.57 (4.42, 8.71), LFP: 5.37 (2.10, 8.63), and MLP: 3.08 (2.22, 3.95), whereas for strength loss were EFP: 23.46 (24.95, 21.98), LFP: 21.63 (22.36, 20.89), and MLP: 20.72 (21.07, 20.36) (p , 0.001). In conclusion, this meta-analysis suggests that hormone fluctuations throughout the MC affect EIMD in terms of DOMS and strength loss. Lower training loads or longer recovery periods could be considered in the EFP, when sex hormone concentrations are lower and women may be more vulnerable to muscle damage, whereas strength conditioning loads could be enhanced in the MLP.
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Objectives: With the considerable increase of female participation in youth sports, it has become crucial for medical professionals, coaches and parents to improve their competitiveness by understanding the conditions for which these females are at elevated risk and mitigating possible health consequences. The aim of this study was to evaluate the effect competitive sports have on the disorders of the menstrual cycle, to investigate the frequency of PMS (premenstrual syndrome)/PMDD (premenstrual dysphoric order) in professional female athletes and to identify risk factors predisposing for PMS and PMDD. Additionally, the levels of selected hormones such as serum estradiol, FSH, LH and prolactin were investigated to identify any hormonal perturbances that might have influence or be the risk factors for menstrual dysfunctions. Material and methods: The study group consisted of 75 professional athletes (girls and young women at the age of 16-22) who lived on the territory of Silesia. The control group consisted of 50 girls and young women at the same age, who did not practice any sport. The research tools included daily diary of PMS symptoms created in line with The American College of Obstetricians and Gynecologists (ACOG) recommendations and ICD-10 diagnostic criteria, daily diary of PMDD symptoms created according to DSM-V diagnostic criteria of the American Psychiatric Association (APA) and premenstrual symptoms screening tool (PSST). Results: The analysis of menstrual cycle disorders showed statistical significance for heavy menstrual bleeding (p = 0.01) and longer breaks between menstrual bleeds (p = 0.01). PMDD was diagnosed in 8% and PMS in more than 42% of respondents. The incidence of PMDD was not at significant variance between the groups (9.33% in contrast to 6.0%), while incidence of PMS was statistically different in both groups (p = 0.045) (49.33% vs 32.0%). A significant correlation between PMS, average age (p = 0.00001) and menarche age (p = 0.03) in young active athletes has been shown. The risk of PMS increased with age (by 1.71 with each year) (p = 0.0007). Conclusions: A number of other risk factors predisposing for PMS and PMDD has also been identified. The findings of these researches will enable the athletic care network to provide better care for young female athletes.
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Coaches consider various competencies (e.g. conditioning, nutrition, skills and tactics), when planning sessions, though rarely the impact of menstruation on the efficacy of training and competition performance for athletes. Given the impact menstrual symptoms can have on athletes, the management strategies that athletes may use to minimise any potential impact, and the mechanisms that provide barriers to greater coach athlete interaction require investigation and consideration. Therefore, this study aimed to investigate the strategies used by athletes to manage menstrual symptoms and the role coaches played in this process. An anonymous, 36-item questionnaire was developed and hosted on Qualtrics. Descriptive statistics and Chi-square statistics were used to analyse the data. One hundred and twenty-four valid responses from Australian athletes 16–45, with a mean age of 29 years, were received. Period pain (82%) and pre-menstrual symptoms (83%) were commonly reported and contributed to fatigue and to perceived reductions in performance during or just prior to the period (50.0% in training, 58.7% on ‘game day’). Contraceptive use was reported by 42% of athletes. Those reporting heavy menstrual bleeding (269.7%) were more likely to report increased fatigue (relative risk 1.6, 95% CI 1.07 to 2.32). Over three-quarters of athletes reported neither they nor their coaches altered training due to the menstrual cycle. Most athletes (76%) did not discuss menstruation with their coaches. Given the perceived negative impact on performance and potential risks with contraceptive usage during adolescence, coaches, trainers and athletes need to have a more open dialogue around the menstrual cycle.